打印复印文件朱墨时序表观特征初探

本文详细介绍了一案例的检验过程,并通过简单实验对激光打印、静电复印形成文件的朱墨时序的表观特征进行了粗浅的探究。总体而言,两种时序在朱墨交叉点的表观特征上具有文字与印文均完整、肉眼感觉文字均压在印文之上的共同点;在两者本质的差异点上,先朱后墨表现为交叉点的墨粉与未交叉部位一致,先墨后朱表现为交叉点的墨粉光泽度增加、具有潮湿感、以及易出现水珠状的印油积聚现象。     

对利用计算机图像处理技术伪变造文件的检验

在计算机图像处理技术用于文件检验工作的同时,也被一些犯罪分子所利用。文章阐述了利用计算机图像处理技术伪变造文件的手段、特点及对其进行检验的方法,以期对该类文件的检验工作有所裨益。     

论数码复印机的鉴别

随着信息技术的迅速发展,现代印刷技术不断的更新,数码产品层出不穷,对印刷文件的检验也提出了新的课题。不同类型品牌的数码复印机印刷文件种类不同,个体鉴别也有其不同特征,不同类型原稿经数码复印机印刷后的文件间也有区别。因此,数码复印机统一认定的鉴别顺序应是先判断机型,后鉴定种类与个体。     

The electoral logic of governor rotations in Ukraine: rulers’ authority,party strength,and regional polarization

How and under what conditions do authoritarian rulers use the state apparatus to help ensure victory? To answer this question, this paper examines electoral mobilization as a rationale for the appointment of governors in hybrid regimes. Given their absolute authority to use administrative resources, autocratic rulers prefer governors who can perform well in mobilizing the electorate in their favor. However, several circumstances make this strategy suboptimal or impossible. To provide empirical evidence supporting this argument, this study conducts a survival analysis using an original dataset of gubernatorial appointments and dismissals in Ukraine from 1996 to 2017. The results confirm that electoral performance was the primary driver of governor appointments during the presidency of Leonid Kuchma. In addition, it is demonstrated that various institutional conditions, such as party strength, the weak authority of the ruler within the central government, and regional polarization resulted in the adoption of different appointment strategies by subsequent presidents.     

朱墨时序显微检验的技术要点及应用

朱墨时序鉴定常见的检验方法包括显微检验法、减层法及光谱法等,其中最基础也是最被普遍使用的方法是显微检验法。通过对显微镜检验在朱墨时序鉴定中的技术要点进行讨论,阐述如何通过选择不同的显微镜,调整放大倍率、照明方式、观察方式及运用共聚焦等技术手段达到最佳观察效果和检验图片。总结了朱墨时序显微镜检验所依据的表观特征及其观察和分析要点,希望对朱墨时序鉴定实践起到积极的指导作用。     

基于POS机套现非法经营犯罪行为及其侦查方法探讨

POS机套现是随我国信用卡产业不断发展而出现的一种新型非法经营犯罪方式，由于这一犯罪运作模式独特多样，作案手法不断翻新，发现率、取证率、打击率始终十分低下，严重助长了犯罪分子的嚣张气焰。针对当前POS机套现犯罪活动依然非常严峻，并呈现专业化、产业化趋势的现状，全面研究利用POS机套现进行非法经营犯罪行为的特质，采取有针对性的侦查策略方法，已刻不容缓。     

光谱成像检验法在朱墨时序鉴定中的应用

光敏印文色料与签字笔书写色料交叉重叠后,因互溶渗透不易形成层状结构而使判定朱墨时序的难度较大。光谱成像检验法是通过比较交叉点、纯印文色料、纯墨迹色料处的反射曲线位置来判定交叉时序关系。     

从体育邮票的发行状况看新中国60年体育发展轨迹

从新中国60年体育邮票发行的种类、数量、套数、内容等进行统计和分析发现，体育邮票的发行受到一定时期的政治、经济、文化科学等因素的影响和制约。体育邮票发行状况所划分的三个阶段与《当代中国体育》对新中国体育发展所划分的四个阶段基本上是一致的，从而证明了对某一时期体育邮票的发行状况进行分析，也是探寻新中国体育发展轨迹的一种方法，其目的是为了加深对新中国体育发展进程及其规律的认识。     

印文鉴定相关问题探讨——高仿真印文鉴定

当前,与印文鉴定相关的并在鉴定实践中经常遇到的新问题和难点问题有高仿真印文的鉴定、变造印章问题、利用真实印文变造文件、同版印章印文、朱墨时序等,本文就高仿真印文的鉴定进行了系统阐述,介绍了各种高仿真印文,包括各种高仿真印章的盖印印文、复制印文、转印印文的伪造手段及其特点,并提出了高仿真印文的鉴定思路和要点。     

Performance of the supervised learning algorithms in sex estimation of the proximal femur: A comparative study in contemporary Egyptian and Turkish samples

Sex estimation standards are population specific however, we argue that machine learning techniques (ML) may enhance the biological sex determination on trans-population application. Linear discriminant analysis (LDA) versus nine ML including quadratic discriminant analysis (QDA), support vector machine (SVM), Decision Tree (DT), Gaussian process (GPC), Naïve Bayesian (NBC), K-Nearest Neighbor (KNN), Random Forest (RFM) and Adaptive boosting (Adaboost) were compared. The experiments involve two contemporary populations: Turkish (n = 300) and Egyptian populations (n = 100) for training and validation, respectively. Base models were calibrated using isotonic and sigmoid calibration schemes. Results were analyzed at posterior probabilities (pp) thresholds >0.95 and >0.80. At pp = 0.5, ML algorithms yielded comparable accuracies in the training (90% to 97%) and test sets (81% to 88%) which are not modified after employing the calibration techniques. At pp >0.95, the raw RFM, LDA, QDA, and SVM models have shown the best performance however, calibration techniques improved the performance of various classifier especially NBC and Adaboost. By contrast, the performance of GPC, KNN, QDA models worsened by calibration. RFM has shown the best performance among all models at both thresholds whereas LDA benefited the best from using both calibration methods at pp >0.80. Complex ML models are not necessarily achieving better performance metrics. LDA and QDA remain the fastest and simplest classifiers. We demonstrated the capability of enhancing sex estimation using ML on an independent population sample however, differences in the underlying probability distribution generated by models were detected which warranted more cautious application by forensic practitioners.